{smcl}
{txt}{sf}{ul off}{.-}
      name:  {res}Study 2 Log File
       {txt}log:  {res}/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Analysis/Study2_Conyers/Logs/study2_log.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res} 9 Sep 2020, 15:10:44
{txt}
{com}. 
. ********************************************************************************
. **********************               Balance              **********************
. ********************************************************************************
. 
. mlogit expcond female edu black hisp asian age news dem_other_dummy rep_other_dummy, b(1)

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-552.68171}  
Iteration 1:{space 3}log likelihood = {res:-544.96697}  
Iteration 2:{space 3}log likelihood = {res:-544.93865}  
Iteration 3:{space 3}log likelihood = {res:-544.93865}  
{res}
{txt}Multinomial logistic regression{col 49}Number of obs{col 67}= {res}       504
{txt}{col 49}LR chi2({res}18{txt}){col 67}= {res}     15.49
{txt}{col 49}Prob > chi2{col 67}= {res}    0.6284
{txt}Log likelihood = {res}-544.93865{txt}{col 49}Pseudo R2{col 67}= {res}    0.0140

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        expcond{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}1              {col 17}{txt}{c |}  (base outcome)
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2               {txt}{c |}
{space 9}female {c |}{col 17}{res}{space 2} .0971202{col 29}{space 2} .2216199{col 40}{space 1}    0.44{col 49}{space 3}0.661{col 57}{space 4}-.3372469{col 70}{space 3} .5314873
{txt}{space 12}edu {c |}{col 17}{res}{space 2}-.1571614{col 29}{space 2} .1287667{col 40}{space 1}   -1.22{col 49}{space 3}0.222{col 57}{space 4}-.4095395{col 70}{space 3} .0952167
{txt}{space 10}black {c |}{col 17}{res}{space 2}-.4850681{col 29}{space 2} .4172532{col 40}{space 1}   -1.16{col 49}{space 3}0.245{col 57}{space 4}-1.302869{col 70}{space 3}  .332733
{txt}{space 11}hisp {c |}{col 17}{res}{space 2} .0416116{col 29}{space 2} .4951935{col 40}{space 1}    0.08{col 49}{space 3}0.933{col 57}{space 4}-.9289499{col 70}{space 3} 1.012173
{txt}{space 10}asian {c |}{col 17}{res}{space 2}-.3147408{col 29}{space 2} .3948173{col 40}{space 1}   -0.80{col 49}{space 3}0.425{col 57}{space 4}-1.088568{col 70}{space 3} .4590869
{txt}{space 12}age {c |}{col 17}{res}{space 2} .0005592{col 29}{space 2} .0090092{col 40}{space 1}    0.06{col 49}{space 3}0.951{col 57}{space 4}-.0170986{col 70}{space 3} .0182169
{txt}{space 11}news {c |}{col 17}{res}{space 2}-.3121349{col 29}{space 2} .1714357{col 40}{space 1}   -1.82{col 49}{space 3}0.069{col 57}{space 4}-.6481428{col 70}{space 3}  .023873
{txt}dem_other_dummy {c |}{col 17}{res}{space 2}-.3266083{col 29}{space 2} .3267153{col 40}{space 1}   -1.00{col 49}{space 3}0.317{col 57}{space 4}-.9669586{col 70}{space 3}  .313742
{txt}rep_other_dummy {c |}{col 17}{res}{space 2}-.6883346{col 29}{space 2}  .357353{col 40}{space 1}   -1.93{col 49}{space 3}0.054{col 57}{space 4}-1.388734{col 70}{space 3} .0120643
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}  1.59097{col 29}{space 2} .8548058{col 40}{space 1}    1.86{col 49}{space 3}0.063{col 57}{space 4}-.0844185{col 70}{space 3} 3.266359
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3               {txt}{c |}
{space 9}female {c |}{col 17}{res}{space 2} .0316102{col 29}{space 2} .2247607{col 40}{space 1}    0.14{col 49}{space 3}0.888{col 57}{space 4}-.4089126{col 70}{space 3}  .472133
{txt}{space 12}edu {c |}{col 17}{res}{space 2}-.0883137{col 29}{space 2} .1296234{col 40}{space 1}   -0.68{col 49}{space 3}0.496{col 57}{space 4}-.3423708{col 70}{space 3} .1657435
{txt}{space 10}black {c |}{col 17}{res}{space 2}-.4352833{col 29}{space 2} .4287041{col 40}{space 1}   -1.02{col 49}{space 3}0.310{col 57}{space 4}-1.275528{col 70}{space 3} .4049613
{txt}{space 11}hisp {c |}{col 17}{res}{space 2}-.5714951{col 29}{space 2} .5747639{col 40}{space 1}   -0.99{col 49}{space 3}0.320{col 57}{space 4}-1.698012{col 70}{space 3} .5550214
{txt}{space 10}asian {c |}{col 17}{res}{space 2}-.8140865{col 29}{space 2} .4496273{col 40}{space 1}   -1.81{col 49}{space 3}0.070{col 57}{space 4} -1.69534{col 70}{space 3} .0671668
{txt}{space 12}age {c |}{col 17}{res}{space 2}-.0052271{col 29}{space 2} .0091411{col 40}{space 1}   -0.57{col 49}{space 3}0.567{col 57}{space 4}-.0231433{col 70}{space 3} .0126891
{txt}{space 11}news {c |}{col 17}{res}{space 2} -.110101{col 29}{space 2} .1711702{col 40}{space 1}   -0.64{col 49}{space 3}0.520{col 57}{space 4}-.4455885{col 70}{space 3} .2253864
{txt}dem_other_dummy {c |}{col 17}{res}{space 2}-.1467877{col 29}{space 2} .3468507{col 40}{space 1}   -0.42{col 49}{space 3}0.672{col 57}{space 4}-.8266027{col 70}{space 3} .5330272
{txt}rep_other_dummy {c |}{col 17}{res}{space 2}-.0902054{col 29}{space 2} .3656696{col 40}{space 1}   -0.25{col 49}{space 3}0.805{col 57}{space 4}-.8069047{col 70}{space 3} .6264938
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} .8755794{col 29}{space 2} .8662759{col 40}{space 1}    1.01{col 49}{space 3}0.312{col 57}{space 4}-.8222901{col 70}{space 3} 2.573449
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. ********************************************************************************
. **********************          Summary Statistics        **********************
. ********************************************************************************
. 
. summarize female high_ed age hisp black asian partisan dem_other_dummy rep_other_dummy

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 6}female {c |}{res}        504    .4503968    .4980278          0          1
{txt}{space 5}high_ed {c |}{res}        504    .5734127    .4950726          0          1
{txt}{space 9}age {c |}{res}        504    38.63889    12.63577         18         99
{txt}{space 8}hisp {c |}{res}        504    .0456349    .2088994          0          1
{txt}{space 7}black {c |}{res}        504    .0734127    .2610718          0          1
{txt}{hline 13}{c +}{hline 57}
{space 7}asian {c |}{res}        504    .0793651    .2705763          0          1
{txt}{space 4}partisan {c |}{res}        504     .859127    .3482362          0          1
{txt}dem_other_~y {c |}{res}        504    .5515873    .4978258          0          1
{txt}rep_other_~y {c |}{res}        504    .3075397    .4619333          0          1
{txt}
{com}. 
. ************************************   H1   ************************************
. 
. ttest demtherm if democrat == 1, by(t2vt1)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
Treatmen {c |}{res}{col 12}    101{col 22} 62.48515{col 34} 2.205646{col 46} 22.16647{col 58} 58.10921{col 70} 66.86109
{txt}Treatmen {c |}{res}{col 12}     96{col 22} 59.11458{col 34} 2.511765{col 46} 24.61017{col 58}  54.1281{col 70} 64.10107
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    197{col 22} 60.84264{col 34} 1.666485{col 46} 23.39023{col 58}  57.5561{col 70} 64.12918
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} 3.370565{col 34} 3.333855{col 58}-3.204477{col 70} 9.945607
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Treatmen{txt}) - mean({res}Treatmen{txt})                        t = {res}  1.0110
{txt}Ho: diff = 0                                     degrees of freedom = {res}     195

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8434         {txt}Pr(|T| > |t|) = {res}0.3133          {txt}Pr(T > t) = {res}0.1566
{txt}
{com}. 
. ************************************   H2   ************************************
. 
. ttest demtherm if democrat == 1, by(t3vt2)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
Treatmen {c |}{res}{col 12}     96{col 22} 59.11458{col 34} 2.511765{col 46} 24.61017{col 58}  54.1281{col 70} 64.10107
{txt}Treatmen {c |}{res}{col 12}     81{col 22} 59.34568{col 34} 2.358277{col 46} 21.22449{col 58} 54.65256{col 70}  64.0388
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    177{col 22} 59.22034{col 34} 1.733185{col 46} 23.05852{col 58} 55.79984{col 70} 62.64084
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.2310957{col 34} 3.488766{col 58}-7.116568{col 70} 6.654377
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Treatmen{txt}) - mean({res}Treatmen{txt})                        t = {res} -0.0662
{txt}Ho: diff = 0                                     degrees of freedom = {res}     175

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.4736         {txt}Pr(|T| > |t|) = {res}0.9473          {txt}Pr(T > t) = {res}0.5264
{txt}
{com}. 
. *********************************** Figure 2 ***********************************
. 
. cd "/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Figures"
{res}/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Figures
{txt}
{com}. 
. cibar demtherm if democrat == 1, level(90) over(expcond) ciopts(lcolor(black) ///
> msize(0)) baropts(lcolor(black) lwidth(.2) barw(.7)) ///
> graphopts(legend(off) xlabel(1 "Scandal" 2 "Hypocrisy" 3 "Resignation") ///
> xtitle("Experimental Condition", margin(t=2)) ytitle("Mean of Democratic Party Thermometer") ///
> yscale(range( 75)) ylabel(45(5)75) ysize(5) xsize(6))
{res}{txt}
{com}. graph export "fig2.pdf", replace as(pdf) 
{txt}(file /Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Figures/fig2.pdf written in PDF format)

{com}. 
. ************************************   H3   ************************************
. 
. ttest reptherm if republican == 1, by(t2vt1)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
Treatmen {c |}{res}{col 12}     59{col 22} 59.32203{col 34} 3.007825{col 46} 23.10355{col 58} 53.30122{col 70} 65.34285
{txt}Treatmen {c |}{res}{col 12}     42{col 22} 67.97619{col 34}  3.50004{col 46} 22.68285{col 58} 60.90772{col 70} 75.04466
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    101{col 22} 62.92079{col 34}  2.30993{col 46} 23.21451{col 58} 58.33796{col 70} 67.50363
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-8.654157{col 34} 4.629338{col 58}-17.83977{col 70} .5314545
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Treatmen{txt}) - mean({res}Treatmen{txt})                        t = {res} -1.8694
{txt}Ho: diff = 0                                     degrees of freedom = {res}      99

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0323         {txt}Pr(|T| > |t|) = {res}0.0645          {txt}Pr(T > t) = {res}0.9677
{txt}
{com}. 
. ******************************     Footnote 9    *******************************
. 
. cd "/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Analysis/Study1_Murphy/Data/"
{res}/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Analysis/Study1_Murphy/Data
{txt}
{com}. 
. * Create variable to indicate study number
. 
. gen study_no = .
{txt}(504 missing values generated)

{com}. replace study_no = 2
{txt}(504 real changes made)

{com}. 
. /* Merge Study 1 to compare how Democrats and Republicans evaluate their own party in the
> scandal condition in the two studies. */
. 
. append using study1_clean.dta
{txt}(label vclosenews already defined)
(label t3vt2 already defined)
(label t3vt1 already defined)
(label t2vt1 already defined)
(label female already defined)
(label accuracy already defined)
(label typicality already defined)
(label partisan already defined)
(label pid already defined)
(label rep_all already defined)
(label dem_all already defined)
(label repub already defined)
(label demrep already defined)
(label newscon already defined)

{com}. 
. replace study_no = 1 if missing(study_no)
{txt}(507 real changes made)

{com}. 
. /* First t-test compares thermometer ratings of the Republican Party among Republicans/Leaners
> in the "scandal" condition for the two studies. Second t-test compares. */
. 
. 
. ttest reptherm if republican == 1 & expcond == 1, by(study_no)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       1 {c |}{res}{col 12}     46{col 22} 62.26087{col 34}  3.19381{col 46} 21.66147{col 58} 55.82821{col 70} 68.69353
       {txt}2 {c |}{res}{col 12}     59{col 22} 59.32203{col 34} 3.007825{col 46} 23.10355{col 58} 53.30122{col 70} 65.34285
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    105{col 22} 60.60952{col 34} 2.188402{col 46} 22.42444{col 58} 56.26984{col 70} 64.94921
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} 2.938836{col 34} 4.422629{col 58}-5.832407{col 70} 11.71008
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}1{txt}) - mean({res}2{txt})                                      t = {res}  0.6645
{txt}Ho: diff = 0                                     degrees of freedom = {res}     103

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.7461         {txt}Pr(|T| > |t|) = {res}0.5079          {txt}Pr(T > t) = {res}0.2539
{txt}
{com}. ttest demtherm if democrat == 1  & expcond == 1, by(study_no)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       1 {c |}{res}{col 12}     94{col 22} 64.07447{col 34} 2.491084{col 46} 24.15196{col 58} 59.12767{col 70} 69.02127
       {txt}2 {c |}{res}{col 12}    101{col 22} 62.48515{col 34} 2.205646{col 46} 22.16647{col 58} 58.10921{col 70} 66.86109
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    195{col 22} 63.25128{col 34} 1.654116{col 46} 23.09848{col 58} 59.98892{col 70} 66.51364
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}  1.58932{col 34} 3.316959{col 58}-4.952823{col 70} 8.131463
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}1{txt}) - mean({res}2{txt})                                      t = {res}  0.4791
{txt}Ho: diff = 0                                     degrees of freedom = {res}     193

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.6838         {txt}Pr(|T| > |t|) = {res}0.6324          {txt}Pr(T > t) = {res}0.3162
{txt}
{com}. 
. *********************************** Figure 4 ***********************************
. 
. cd "/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Analysis/Study2_Conyers/Data/"
{res}/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Analysis/Study2_Conyers/Data
{txt}
{com}. 
. use "study2_clean.dta",clear
{txt}
{com}. 
. cd "/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Figures"
{res}/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Figures
{txt}
{com}. 
. cibar reptherm if republican == 1, level(90) over(t2vt1) ciopts(lcolor(black) ///
> msize(0)) baropts(lcolor(black) lwidth(.2) barw(.7)) ///
> graphopts(legend(off) xlabel(1 "Scandal" 2 "Hypocrisy") ///
> xtitle("Experimental Condition", margin(t=2)) ytitle("Mean of Republican Party Thermometer") ///
> yscale(range( 75)) ylabel(45(5)75) ysize(5) xsize(6))
{res}{txt}
{com}. graph export "fig4.pdf", replace as(pdf) 
{txt}(file /Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Figures/fig4.pdf written in PDF format)

{com}. 
. ********************************************************************************
. **************************      Additional Tests       *************************
. ********************************************************************************
. 
. ************************* Strength of Partisanship *****************************
. 
. * Extension of H1a/H1b
. 
. ttest demtherm if pid7 == 1, by(t2vt1)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
Treatmen {c |}{res}{col 12}     42{col 22}  71.7381{col 34} 3.528062{col 46} 22.86446{col 58} 64.61303{col 70} 78.86316
{txt}Treatmen {c |}{res}{col 12}     32{col 22} 73.84375{col 34} 3.254373{col 46} 18.40952{col 58} 67.20641{col 70} 80.48109
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     74{col 22} 72.64865{col 34} 2.434665{col 46} 20.94378{col 58} 67.79637{col 70} 77.50093
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-2.105655{col 34} 4.942193{col 58}-11.95774{col 70} 7.746428
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Treatmen{txt}) - mean({res}Treatmen{txt})                        t = {res} -0.4261
{txt}Ho: diff = 0                                     degrees of freedom = {res}      72

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.3357         {txt}Pr(|T| > |t|) = {res}0.6713          {txt}Pr(T > t) = {res}0.6643
{txt}
{com}. ttest demtherm if pid7 == 2, by(t2vt1)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
Treatmen {c |}{res}{col 12}     36{col 22} 56.16667{col 34} 3.336784{col 46}  20.0207{col 58} 49.39264{col 70}  62.9407
{txt}Treatmen {c |}{res}{col 12}     38{col 22} 62.28947{col 34} 3.374852{col 46} 20.80399{col 58} 55.45137{col 70} 69.12757
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     74{col 22} 59.31081{col 34} 2.385313{col 46} 20.51924{col 58} 54.55689{col 70} 64.06473
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-6.122807{col 34} 4.750911{col 58}-15.59357{col 70} 3.347961
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Treatmen{txt}) - mean({res}Treatmen{txt})                        t = {res} -1.2888
{txt}Ho: diff = 0                                     degrees of freedom = {res}      72

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.1008         {txt}Pr(|T| > |t|) = {res}0.2016          {txt}Pr(T > t) = {res}0.8992
{txt}
{com}. ttest demtherm if pid7 == 3, by(t2vt1)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
Treatmen {c |}{res}{col 12}     23{col 22} 55.47826{col 34} 3.852451{col 46} 18.47571{col 58} 47.48877{col 70} 63.46776
{txt}Treatmen {c |}{res}{col 12}     26{col 22} 36.34615{col 34} 3.964047{col 46} 20.21275{col 58} 28.18205{col 70} 44.51026
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     49{col 22} 45.32653{col 34} 3.071621{col 46} 21.50134{col 58} 39.15062{col 70} 51.50244
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} 19.13211{col 34}  5.55872{col 58} 7.949405{col 70} 30.31481
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Treatmen{txt}) - mean({res}Treatmen{txt})                        t = {res}  3.4418
{txt}Ho: diff = 0                                     degrees of freedom = {res}      47

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9994         {txt}Pr(|T| > |t|) = {res}0.0012          {txt}Pr(T > t) = {res}0.0006
{txt}
{com}. 
. * Extension of H2
. 
. ttest demtherm if pid7 == 1, by(t3vt2)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
Treatmen {c |}{res}{col 12}     32{col 22} 73.84375{col 34} 3.254373{col 46} 18.40952{col 58} 67.20641{col 70} 80.48109
{txt}Treatmen {c |}{res}{col 12}     29{col 22} 69.86207{col 34} 3.105186{col 46} 16.72194{col 58} 63.50138{col 70} 76.22275
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     61{col 22} 71.95082{col 34} 2.252919{col 46} 17.59586{col 58} 67.44431{col 70} 76.45733
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} 3.981681{col 34} 4.519738{col 58}-5.062294{col 70} 13.02566
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Treatmen{txt}) - mean({res}Treatmen{txt})                        t = {res}  0.8810
{txt}Ho: diff = 0                                     degrees of freedom = {res}      59

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8090         {txt}Pr(|T| > |t|) = {res}0.3819          {txt}Pr(T > t) = {res}0.1910
{txt}
{com}. ttest demtherm if pid7 == 2, by(t3vt2)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
Treatmen {c |}{res}{col 12}     38{col 22} 62.28947{col 34} 3.374852{col 46} 20.80399{col 58} 55.45137{col 70} 69.12757
{txt}Treatmen {c |}{res}{col 12}     30{col 22}     61.5{col 34}  3.43436{col 46} 18.81076{col 58} 54.47595{col 70} 68.52405
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     68{col 22} 61.94118{col 34} 2.401975{col 46} 19.80719{col 58} 57.14681{col 70} 66.73554
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .7894737{col 34} 4.873086{col 58}-8.939956{col 70}  10.5189
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Treatmen{txt}) - mean({res}Treatmen{txt})                        t = {res}  0.1620
{txt}Ho: diff = 0                                     degrees of freedom = {res}      66

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.5641         {txt}Pr(|T| > |t|) = {res}0.8718          {txt}Pr(T > t) = {res}0.4359
{txt}
{com}. ttest demtherm if pid7 == 3, by(t3vt2)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
Treatmen {c |}{res}{col 12}     26{col 22} 36.34615{col 34} 3.964047{col 46} 20.21275{col 58} 28.18205{col 70} 44.51026
{txt}Treatmen {c |}{res}{col 12}     22{col 22} 42.54545{col 34} 4.261845{col 46} 19.98982{col 58} 33.68246{col 70} 51.40845
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     48{col 22}  39.1875{col 34} 2.906897{col 46} 20.13957{col 58} 33.33958{col 70} 45.03542
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-6.199301{col 34} 5.825893{col 58}-17.92621{col 70} 5.527613
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Treatmen{txt}) - mean({res}Treatmen{txt})                        t = {res} -1.0641
{txt}Ho: diff = 0                                     degrees of freedom = {res}      46

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.1464         {txt}Pr(|T| > |t|) = {res}0.2928          {txt}Pr(T > t) = {res}0.8536
{txt}
{com}. 
. * Extension of H3
. 
. ttest reptherm if pid7 == 5, by(t2vt1)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
Treatmen {c |}{res}{col 12}     17{col 22} 54.05882{col 34} 5.554854{col 46} 22.90325{col 58} 42.28306{col 70} 65.83459
{txt}Treatmen {c |}{res}{col 12}      6{col 22} 49.33333{col 34} 6.406594{col 46} 15.69289{col 58} 32.86466{col 70} 65.80201
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     23{col 22} 52.82609{col 34} 4.383608{col 46} 21.02304{col 58} 43.73504{col 70} 61.91713
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}  4.72549{col 34} 10.16572{col 58}-16.41528{col 70} 25.86626
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Treatmen{txt}) - mean({res}Treatmen{txt})                        t = {res}  0.4648
{txt}Ho: diff = 0                                     degrees of freedom = {res}      21

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.6766         {txt}Pr(|T| > |t|) = {res}0.6468          {txt}Pr(T > t) = {res}0.3234
{txt}
{com}. ttest reptherm if pid7 == 6, by(t2vt1)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
Treatmen {c |}{res}{col 12}     24{col 22} 51.33333{col 34}  4.32245{col 46} 21.17559{col 58} 42.39166{col 70}   60.275
{txt}Treatmen {c |}{res}{col 12}     18{col 22}     64.5{col 34} 4.225081{col 46}  17.9255{col 58} 55.58586{col 70} 73.41414
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     42{col 22} 56.97619{col 34} 3.193251{col 46} 20.69463{col 58} 50.52729{col 70} 63.42509
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-13.16667{col 34} 6.192256{col 58}-25.68168{col 70}-.6516496
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Treatmen{txt}) - mean({res}Treatmen{txt})                        t = {res} -2.1263
{txt}Ho: diff = 0                                     degrees of freedom = {res}      40

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0198         {txt}Pr(|T| > |t|) = {res}0.0397          {txt}Pr(T > t) = {res}0.9802
{txt}
{com}. ttest reptherm if pid7 == 7, by(t2vt1)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
Treatmen {c |}{res}{col 12}     18{col 22} 74.94444{col 34} 4.374968{col 46} 18.56142{col 58} 65.71407{col 70} 84.17482
{txt}Treatmen {c |}{res}{col 12}     18{col 22} 77.66667{col 34} 5.832073{col 46} 24.74339{col 58} 65.36207{col 70} 89.97126
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     36{col 22} 76.30556{col 34} 3.600225{col 46} 21.60135{col 58} 68.99671{col 70}  83.6144
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-2.722222{col 34} 7.290639{col 58}-17.53858{col 70} 12.09414
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Treatmen{txt}) - mean({res}Treatmen{txt})                        t = {res} -0.3734
{txt}Ho: diff = 0                                     degrees of freedom = {res}      34

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.3556         {txt}Pr(|T| > |t|) = {res}0.7112          {txt}Pr(T > t) = {res}0.6444
{txt}
{com}. 
. ***************************** News Consumption *********************************
. 
. * Extension of H1a/H1b
. 
. reg demtherm i.t2vt1##i.vclosenews if democrat == 1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       197
{txt}{hline 13}{c +}{hline 34}   F(3, 193)       = {res}     0.66
{txt}       Model {c |} {res} 1094.60262         3  364.867541   {txt}Prob > F        ={res}    0.5755
{txt}    Residual {c |} {res} 106137.519       193  549.935333   {txt}R-squared       ={res}    0.0102
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}   -0.0052
{txt}       Total {c |} {res} 107232.122       196  547.102662   {txt}Root MSE        =   {res} 23.451

{txt}{hline 39}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                              demtherm{col 40}{c |}      Coef.{col 52}   Std. Err.{col 64}      t{col 72}   P>|t|{col 80}     [95% Con{col 93}f. Interval]
{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 33}t2vt1 {c |}
{space 26}Treatment 2  {c |}{col 40}{res}{space 2}-3.094275{col 52}{space 2} 4.076211{col 63}{space 1}   -0.76{col 72}{space 3}0.449{col 80}{space 4}-11.13391{col 93}{space 3} 4.945364
{txt}{space 38} {c |}
{space 28}vclosenews {c |}
{space 12}Follows News Very Closely  {c |}{col 40}{res}{space 2} 4.193897{col 52}{space 2}  5.10654{col 63}{space 1}    0.82{col 72}{space 3}0.413{col 80}{space 4}-5.877893{col 93}{space 3} 14.26569
{txt}{space 38} {c |}
{space 22}t2vt1#vclosenews {c |}
Treatment 2#Follows News Very Closely  {c |}{col 40}{res}{space 2}-1.456705{col 52}{space 2} 7.149912{col 63}{space 1}   -0.20{col 72}{space 3}0.839{col 80}{space 4} -15.5587{col 93}{space 3} 12.64529
{txt}{space 38} {c |}
{space 33}_cons {c |}{col 40}{res}{space 2} 61.23944{col 52}{space 2} 2.783086{col 63}{space 1}   22.00{col 72}{space 3}0.000{col 80}{space 4} 55.75027{col 93}{space 3} 66.72861
{txt}{hline 39}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, at(t2vt1=(0(1)1) vclosenews=(0(1)1)) level(90)
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       197
{txt}Model VCE{col 14}: {res}OLS

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:t2vt1}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vclosenews}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:t2vt1}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vclosenews}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:t2vt1}{space 11}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vclosenews}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:t2vt1}{space 11}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vclosenews}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [90% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 61.23944{col 26}{space 2} 2.783086{col 37}{space 1}   22.00{col 46}{space 3}0.000{col 54}{space 4} 56.63959{col 67}{space 3} 65.83929
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 65.43333{col 26}{space 2} 4.281492{col 37}{space 1}   15.28{col 46}{space 3}0.000{col 54}{space 4} 58.35694{col 67}{space 3} 72.50973
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 58.14516{col 26}{space 2} 2.978242{col 37}{space 1}   19.52{col 46}{space 3}0.000{col 54}{space 4} 53.22276{col 67}{space 3} 63.06756
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 60.88235{col 26}{space 2} 4.021762{col 37}{space 1}   15.14{col 46}{space 3}0.000{col 54}{space 4} 54.23524{col 67}{space 3} 67.52947
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. * Extension of H2
. 
. reg demtherm i.t3vt2##i.vclosenews if democrat == 1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       177
{txt}{hline 13}{c +}{hline 34}   F(3, 173)       = {res}     0.36
{txt}       Model {c |} {res}  573.57196         3  191.190653   {txt}Prob > F        ={res}    0.7851
{txt}    Residual {c |} {res} 93004.8348       173  537.600201   {txt}R-squared       ={res}    0.0061
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}   -0.0111
{txt}       Total {c |} {res} 93578.4068       176  531.695493   {txt}Root MSE        =   {res} 23.186

{txt}{hline 39}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                              demtherm{col 40}{c |}      Coef.{col 52}   Std. Err.{col 64}      t{col 72}   P>|t|{col 80}     [95% Con{col 93}f. Interval]
{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 33}t3vt2 {c |}
{space 26}Treatment 3  {c |}{col 40}{res}{space 2}-.4281802{col 52}{space 2} 4.337554{col 63}{space 1}   -0.10{col 72}{space 3}0.921{col 80}{space 4}-8.989519{col 93}{space 3} 8.133159
{txt}{space 38} {c |}
{space 28}vclosenews {c |}
{space 12}Follows News Very Closely  {c |}{col 40}{res}{space 2} 2.737192{col 52}{space 2} 4.948004{col 63}{space 1}    0.55{col 72}{space 3}0.581{col 80}{space 4}-7.029036{col 93}{space 3} 12.50342
{txt}{space 38} {c |}
{space 22}t3vt2#vclosenews {c |}
Treatment 3#Follows News Very Closely  {c |}{col 40}{res}{space 2} 1.974399{col 52}{space 2} 7.336631{col 63}{space 1}    0.27{col 72}{space 3}0.788{col 80}{space 4}-12.50643{col 93}{space 3} 16.45523
{txt}{space 38} {c |}
{space 33}_cons {c |}{col 40}{res}{space 2} 58.14516{col 52}{space 2} 2.944651{col 63}{space 1}   19.75{col 72}{space 3}0.000{col 80}{space 4} 52.33309{col 93}{space 3} 63.95723
{txt}{hline 39}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, at(t3vt2=(0(1)1) vclosenews=(0(1)1)) level(90)
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       177
{txt}Model VCE{col 14}: {res}OLS

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:t3vt2}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vclosenews}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:t3vt2}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vclosenews}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:t3vt2}{space 11}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vclosenews}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:t3vt2}{space 11}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vclosenews}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [90% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 58.14516{col 26}{space 2} 2.944651{col 37}{space 1}   19.75{col 46}{space 3}0.000{col 54}{space 4} 53.27556{col 67}{space 3} 63.01476
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 60.88235{col 26}{space 2} 3.976402{col 37}{space 1}   15.31{col 46}{space 3}0.000{col 54}{space 4} 54.30654{col 67}{space 3} 67.45816
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 57.71698{col 26}{space 2}  3.18487{col 37}{space 1}   18.12{col 46}{space 3}0.000{col 54}{space 4} 52.45013{col 67}{space 3} 62.98383
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 62.42857{col 26}{space 2} 4.381781{col 37}{space 1}   14.25{col 46}{space 3}0.000{col 54}{space 4} 55.18238{col 67}{space 3} 69.67476
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. * Extension of H3
. 
. reg reptherm i.t2vt1##i.vclosenews if republican == 1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       101
{txt}{hline 13}{c +}{hline 34}   F(3, 97)        = {res}     1.29
{txt}       Model {c |} {res} 2069.46314         3  689.821045   {txt}Prob > F        ={res}    0.2818
{txt}    Residual {c |} {res} 51821.9032        97  534.246425   {txt}R-squared       ={res}    0.0384
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0087
{txt}       Total {c |} {res} 53891.3663       100  538.913663   {txt}Root MSE        =   {res} 23.114

{txt}{hline 39}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                              reptherm{col 40}{c |}      Coef.{col 52}   Std. Err.{col 64}      t{col 72}   P>|t|{col 80}     [95% Con{col 93}f. Interval]
{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 33}t2vt1 {c |}
{space 26}Treatment 2  {c |}{col 40}{res}{space 2} 6.373023{col 52}{space 2} 5.813277{col 63}{space 1}    1.10{col 72}{space 3}0.276{col 80}{space 4}-5.164723{col 93}{space 3} 17.91077
{txt}{space 38} {c |}
{space 28}vclosenews {c |}
{space 12}Follows News Very Closely  {c |}{col 40}{res}{space 2}-2.156977{col 52}{space 2} 6.768658{col 63}{space 1}   -0.32{col 72}{space 3}0.751{col 80}{space 4}-15.59089{col 93}{space 3} 11.27694
{txt}{space 38} {c |}
{space 22}t2vt1#vclosenews {c |}
Treatment 2#Follows News Very Closely  {c |}{col 40}{res}{space 2} 6.347565{col 52}{space 2}   9.9303{col 63}{space 1}    0.64{col 72}{space 3}0.524{col 80}{space 4}-13.36133{col 93}{space 3} 26.05646
{txt}{space 38} {c |}
{space 33}_cons {c |}{col 40}{res}{space 2} 59.90698{col 52}{space 2} 3.524817{col 63}{space 1}   17.00{col 72}{space 3}0.000{col 80}{space 4} 52.91119{col 93}{space 3} 66.90276
{txt}{hline 39}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, at(t2vt1=(0(1)1) vclosenews=(0(1)1)) level(90)
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       101
{txt}Model VCE{col 14}: {res}OLS

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:t2vt1}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vclosenews}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:t2vt1}{space 11}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vclosenews}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:t2vt1}{space 11}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vclosenews}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:t2vt1}{space 11}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:vclosenews}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [90% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 59.90698{col 26}{space 2} 3.524817{col 37}{space 1}   17.00{col 46}{space 3}0.000{col 54}{space 4} 54.05326{col 67}{space 3} 65.76069
{txt}{space 10}2  {c |}{col 14}{res}{space 2}    57.75{col 26}{space 2} 5.778443{col 37}{space 1}    9.99{col 46}{space 3}0.000{col 54}{space 4} 48.15366{col 67}{space 3} 67.34634
{txt}{space 10}3  {c |}{col 14}{res}{space 2}    66.28{col 26}{space 2} 4.622754{col 37}{space 1}   14.34{col 46}{space 3}0.000{col 54}{space 4} 58.60292{col 67}{space 3} 73.95708
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 70.47059{col 26}{space 2} 5.605913{col 37}{space 1}   12.57{col 46}{space 3}0.000{col 54}{space 4} 61.16077{col 67}{space 3} 79.78041
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. log close _all
      {txt}name:  {res}Study 2 Log File
       {txt}log:  {res}/Users/adamwolsky/Dropbox/Vandy/Projects/Hypocrisy_Scandal/Analysis/Study2_Conyers/Logs/study2_log.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res} 9 Sep 2020, 15:10:56
{txt}{.-}
{smcl}
{txt}{sf}{ul off}